Smoothing

Known as: Smooth-down, Smoothes down, Smoothing (disambiguation) 
In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the… (More)
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Highly Cited
2013
Highly Cited
2013
Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple… (More)
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Highly Cited
2009
Highly Cited
2009
Latent Dirichlet analysis, or topic modeling, is a flexible latent variable framework for modeling high-dimensional sparse count… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper, we present incremental smoothing and mapping (iSAM), which is a novel approach to the simultaneous localization… (More)
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Highly Cited
2005
Highly Cited
2005
In this paper we propose a new approach for constructing efficient schemes for non-smooth convex optimization. It is based on a… (More)
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Highly Cited
2004
Highly Cited
2004
Language modeling approaches to information retrieval are attractive and promising because they connect the problem of retrieval… (More)
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Highly Cited
2002
Highly Cited
2002
In this paper we introduce the Minimum Phone Error (MPE) and Minimum Word Error (MWE) criteria for the discriminative training of… (More)
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Highly Cited
2002
Highly Cited
2002
newspapers and past students' theses. These imaged documents will not be OCR'ed as originally planned due to the overwhelming… (More)
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Highly Cited
2001
Highly Cited
2001
We describe a method to estimate the power spectral density of nonstationary noise when a noisy speech signal is given. The… (More)
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Highly Cited
2001
Highly Cited
2001
Language modeling approaches to information retrieval are attractive and promising because they connect the problem of retrieval… (More)
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Highly Cited
1989
Highly Cited
1989
In the context of coherent signal classification, a spatial smoothing scheme first suggested by Evans et al., and subsequently… (More)
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